CN114094615B - Multi-DC conveying limit calculation method based on DC interaction coupling clustering - Google Patents
Multi-DC conveying limit calculation method based on DC interaction coupling clustering Download PDFInfo
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- CN114094615B CN114094615B CN202111375409.8A CN202111375409A CN114094615B CN 114094615 B CN114094615 B CN 114094615B CN 202111375409 A CN202111375409 A CN 202111375409A CN 114094615 B CN114094615 B CN 114094615B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/36—Arrangements for transfer of electric power between ac networks via a high-tension dc link
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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Abstract
The multi-DC transmission limit calculation method based on DC interaction coupling clustering is to utilize power system analysis calculation software to perform short circuit calculation on regional power grids under various operation modes such as different grid structures, different generator output, DC transmission power and the like, so as to obtain an interaction factor matrix among all DC lines under various operation modes; and performing cluster analysis on the interaction factor matrix data by using a machine learning method, selecting cluster intervals of clustering of the difference degree between the DC clusters according to engineering experience, obtaining DC cluster results considering DC interaction strength coupling, and further coordinating steady-state transmission power of each DC line in the same DC cluster to obtain a multi-DC line transmission limit. The method can quantitatively analyze the interaction and the coupling degree between the multiple direct current lines of the alternating current-direct current interconnection power grid and guide the reasonable planning and the coordinated operation of the series-parallel power grid.
Description
Technical Field
The invention belongs to the field of power system analysis, and particularly relates to a multi-direct-current transmission limit calculation method based on direct-current interaction coupling clustering.
Background
The power transmission end of the HVDC system is mostly concentrated in areas with dense energy sources such as northwest, southwest and the like. At present, the multi-regional power grid in China has the important characteristics of direct current multi-output or multi-feed, and the conveying scale of the power grid is rare in the world. Because the distance between the direct current falling points is relatively close, the electric coupling between the direct current loops is close, the mutual influence is large, and complex interaction between direct current and between direct current and alternating current exists. It can also be seen from the existing research on the multi-feed HVDC system that the larger the coupling strength between the direct currents of each loop is, the more easily the system is subjected to faults such as commutation failure, so that the multi-direct current comprehensive power limit is difficult to accurately acquire, and great challenges are brought to the safe and stable operation and control of the system.
The international large grid organization CIGRE defines in the research report a Multi-feed interaction factor (Multi-Infeed Interaction Factor, MIIF), which means that: and a three-phase symmetrical reactor is connected to a back HVDC power transmission bus, and when the voltage of the back direct current conversion bus drops by 1% due to reactive disturbance of the back direct current, the ratio of the voltage fluctuation of other back direct currents at the conversion bus and the voltage drop quantity at the back direct current conversion bus caused by the disturbance is used for describing the multi-direct current interaction. For multi-feed ac/dc systems, a new concept has been established by the learner, namely the multi-feed interaction factor MSIF, which is used to characterize the interactions between the multiple dc in the multi-feed system.
With the increasing development of HVDC, the situation that the dropping points of multiple direct currents are close and are mutually influenced occurs, and the interaction strength among the multiple direct currents needs to be quantified, so that the coordinated operation of the multiple direct current lines is performed. For the mechanism of mutual coupling influence among multiple loops of direct currents, although various nationists propose some indexes to partially measure the influence among the loops of direct currents, no method can reasonably analyze the interaction strength coupling of the multiple loops of direct currents at present and coordinate the steady-state operation of the direct currents to obtain the transmission limit of the multiple loops of direct currents in a direct current group.
Disclosure of Invention
The invention aims to solve the problems, and provides a multi-direct-current transmission limit calculation method based on direct-current interaction coupling clustering, which provides a certain theoretical basis and quantitative analysis technical support for the joint operation of multiple direct-current lines, so as to reflect the degree of mutual coupling tightness among the multiple direct-current lines and overcome the defect that the prior art cannot coordinate operation of the multiple direct-current lines and reach the transmission limit.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a multi-DC conveying limit calculation method based on DC interaction coupling clustering comprises the following steps:
step one: inputting basic data of a grid structure, a generator, a load, a transformer and a direct current circuit of a system for power flow calculation, and performing power flow calculation on a plurality of operation modes of a regional power grid comprising a plurality of direct current circuits by utilizing power system analysis and calculation software (the plurality of operation modes refer to power flow operation modes of different generators, loads and direct current transmission power under different grid structures) to obtain a plurality of feasible power flow operation modes;
step two: based on the multiple feasible power flow operation modes obtained in the step one, short circuit calculation is carried out on the multiple feasible power flow operation modes of the regional power grid comprising the multiple direct current lines by utilizing power system analysis and calculation software, and the multi-output short circuit ratio of the multi-direct current system is obtained:
wherein S is aci The ac short-circuit capacity of the commutation bus i; p (P) di Indicating the ith return DC power;the disturbance at the position of the current converting bus i is shown to cause the voltage change of the current converting bus i, so that the change of the j-th return DC power of the lead affects an AC system, n is the number of DC lines, and P dj The j-th DC power; MSIF (MSIF) ij The interaction factors of the direct current circuit i on the direct current circuit j under various operation modes are represented and calculated as follows:
wherein an inductive load is connected to the commutation bus j to cause 1% voltage drop on the commutation bus j by DeltaU j A representation; the voltage drop caused by the commutation bus i adjacent to the converter station j is measured by deltau i A representation;
step three: using machine learning method to make interaction factor MSIF under several running modes ij (i=1, 2, …, n; j=1, 2, …, n) performing cluster analysis; designating the cluster distance (namely designating the difference degree between the direct current groups) as an empirical constant const in a clustering algorithm to obtain a clustering and grouping result of a plurality of direct current lines; the specific method is that when the sum of interaction factors between two direct current lines is greater than or equal to an empirical constant const, the two direct current lines are considered to be clustered into the same group;
wherein MSIF ji Representing the multi-output interaction factor of the direct current circuit j to the direct current circuit i; const is an empirical constant, taken as 0.25;
Step four: based on the multiple feasible tide operation modes obtained in the step one, carrying out electromechanical transient time domain simulation calculation of multiple DC output capacities on the multiple feasible tide operation modes of the regional power grid containing the multiple DC lines by using the clustering and clustering results of the DC lines obtained in the step three, and regulating steady-state transmission power of each DC in the multiple operation modes by considering the influence of other DC transmission power in the DC group on the DC coupling concerned to obtain the upper limit of transmission of all n DC lines in the DC group without violating transient stability criteria
In the invention, the current converting buses i and j refer to the i and j-th direct current sending end current converting buses respectively, and the numbers of the i and j-th direct current sending end current converting buses are completely consistent.
Compared with the prior art, the invention has the following advantages:
the method can fully consider the interaction factors among the direct current lines in various operation modes, and uses a machine learning method (preferably DBSCAN algorithm) to perform cluster analysis, so as to accurately quantify the interaction among the multiple direct current lines, thereby overcoming the defect that the traditional single operation mode cannot fully guide the actual engineering application; and the calculation of direct current interaction coupling clustering is given, so that scientific guidance can be provided for accurately acquiring the multi-direct current transmission limit of the alternating current-direct current series-parallel power system, and the improvement of the multi-direct current transmission limit has remarkable economic and social benefits.
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Fig. 1 is a method for calculating a multi-dc line delivery limit based on dc interaction intensity coupling clustering.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and the detailed description.
As shown in fig. 1, the method for calculating the multi-dc delivery limit based on dc interaction coupling clustering according to the embodiment of the present invention includes the following steps: inputting basic data of a grid structure, a generator, a load, a transformer and a direct current circuit of a system for power flow calculation, and performing power flow calculation on a plurality of operation modes of a regional power grid comprising a plurality of direct current circuits by utilizing power system analysis and calculation software (the plurality of operation modes refer to power flow operation modes of different generators, loads and direct current transmission power under different grid structures) to obtain a plurality of feasible power flow operation modes; according to the requirement in the first step, a certain regional power grid in China is selected, and the computing data adopts the basic data of the regional power grid in China in 2020. And carrying out power flow simulation calculation on various running modes by using power system analysis and calculation software PSASP to obtain a plurality of feasible power flow running modes.
Step two: based on the multiple feasible power flow operation modes obtained in the step one, short circuit calculation is carried out on the multiple feasible power flow operation modes of the regional power grid comprising the multiple direct current lines by utilizing power system analysis and calculation software, and the multi-output short circuit ratio of the multi-direct current system is obtained:
wherein S is aci The ac short-circuit capacity of the commutation bus i; p (P) di Indicating the ith return DC power;the disturbance at the position of the current converting bus i is shown to cause the voltage change of the current converting bus i, so that the change of the j-th return DC power of the lead affects an AC system, n is the number of DC lines, and P dj The j-th DC power; MSIF (MSIF) ij The interaction factors of the direct current circuit i on the direct current circuit j under various operation modes are represented and calculated as follows:
wherein an inductive load is connected to the commutation bus j to cause 1% voltage drop on the commutation bus j by DeltaU j A representation; the voltage drop caused by the commutation bus i adjacent to the converter station j is measured by deltau i A representation; according to the requirement of the second step, the power system analysis and calculation software PSASP is utilized to perform short circuit calculation on a plurality of possible power flow operation modes of the regional power grid comprising a plurality of direct current lines on the basis of the plurality of possible power flow operation modes obtained in the first step, and table 1 shows interaction factors MSIF between the direct current lines under a certain grid structure and operation mode obtained by using the power system analysis and calculation software PSASP according to the embodiment of the invention ij 。
The corresponding relation between the direct current circuit and the converter bus is as follows: the rectification side commutation bus of the Qinghuan direct current is ' Qinghuan Le 72 ', ' Qi Shao direct current ' rectification side commutation bus is ' Gan Qilian commutation 71 ', ' Ji Quan direct current ' rectification side commutation bus is ' Xinchang Ji convertor station 71 ', ' Tianzhong direct current ' rectification side commutation bus is ' Xinhua Miao convertor 500 ', ' Lingshao direct current ' rectification side commutation bus is ' Ning Lingzhou convertor station 72 ', ' the rectification side converter buses of Yindong direct current are Ningyinchuan converter station 330, zhaoyi direct current, ning Yike Zhaozhao converter station 52, debao direct current, shan Bao chicken 330, lingbao direct current, shan Luoshan application 331 and Shan southeast suburb 330.
Table 1 grid structure 1, DC interaction factor table under the operating mode of turning on the green Lash G2 and green Lash G3 with green Lash DC transmission power of 600MW
Step three: machine for useThe device learning method is used for the interaction factors MSIF under various operation modes ij (i=1, 2, …, n; j=1, 2, …, n) performing cluster analysis; designating the cluster distance (namely designating the difference degree between the direct current groups) as an empirical constant const in a clustering algorithm to obtain a clustering and grouping result of a plurality of direct current lines; the specific method is that when the sum of interaction factors between two direct current lines is greater than or equal to an empirical constant const, the two direct current lines are considered to be clustered into the same group;
MSIF ij +MSIF ji ≥const (3)
wherein MSIF ji Representing the multi-output interaction factor of the direct current circuit j to the direct current circuit i; const is an empirical constant, 0.25 is taken; according to the requirement of the third step, clustering analysis is carried out on the interaction factor data by using a machine learning method DBSCAN algorithm; and designating cluster spacing (namely designating the degree of difference between the direct current groups) as a constant of 0.25 in the DBSCAN algorithm to obtain a multi-direct current line clustering result.
The existing method for grouping the direct current lines mainly takes the geographic position as the basis, for example, the receiving end of the Qinghua DC is close to the geographic position of the receiving end of the Shaanxi DC group, so that the Qinghua DC and the Lingbao DC can be considered to be divided into groups, but the result of the method provided by the invention proves that the green Zhu DC and the Xinjiang DC are more reasonable to be divided together.
Finally, according to the fourth step, the power system analysis and calculation software PSASP utilizes the DC cluster result obtained in the third step, and carries out electromechanical transient time domain simulation calculation of multiple DC output capacities on multiple feasible tide operation modes of the regional power grid containing multiple DC lines on the basis of the multiple feasible tide operation modes obtained in the first step, and adjusts steady-state transmission power of each DC in the multiple operation modes by considering the influence of other DC transmission power in the DC cluster on the DC coupling concerned, thereby obtaining the upper limit of the transmission limit of all the n DC lines in the DC cluster without violating transient stability criteria of the regional power grid in the embodimentSuch as a watch2. As can be seen from the data in table 2, by controlling the emergency active power support of other dc lines of the dc group after Ji Quan dc bipolar blocking, the integrated output capacity of three loops of dc can be respectively increased from 1180 kilowatts to 1210, 1230 and 1220 kilowatts, wherein the maximum integrated output capacity is Ji Quan bipolar blocking, and 1230 kilowatts are respectively increased by 25% in the working conditions of daily and Qi Shao active modulation, so as to verify the implementation effect of the present invention.
TABLE 2 transportation limit table for Xinjiang DC group multiple DC lines
Finally, it should be noted that: the foregoing description is only one embodiment of the present invention, and is not intended to limit the present invention, but although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the technical solutions described in the foregoing embodiments, or equivalents may be substituted for some of the technical features thereof. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (3)
1. The multi-direct-current conveying limit calculating method based on direct-current interaction coupling clustering is characterized by comprising the following steps of:
step one: inputting basic data of a grid structure, a generator, a load, a transformer and a direct current line of a system for power flow calculation, and performing power flow calculation on a plurality of operation modes of a regional power grid comprising a plurality of direct current lines by utilizing power system analysis and calculation software to obtain a plurality of feasible power flow operation modes;
step two: based on the multiple feasible power flow operation modes obtained in the step one, short circuit calculation is carried out on the multiple feasible power flow operation modes of the regional power grid comprising the multiple direct current lines by utilizing power system analysis and calculation software, and the multi-output short circuit ratio of the multi-direct current system is obtained:
wherein S is aci The ac short-circuit capacity of the commutation bus i; p (P) di Indicating the ith return DC power;the disturbance at the position of the current converting bus i is shown to cause the voltage change of the current converting bus i, so that the change of the j-th return DC power of the lead affects an AC system, n is the number of DC lines, and P dj The j-th DC power; MSIF (MSIF) ij The interaction factors of the direct current circuit i on the direct current circuit j under various operation modes are represented and calculated as follows:
wherein an inductive load is connected to the commutation bus j to cause 1% voltage drop on the commutation bus j by DeltaU j A representation; the voltage drop of the commutation bus i adjacent to the commutation bus j is caused by DeltaU i A representation;
step three: using machine learning method to make interaction factor MSIF under several running modes ij Cluster analysis was performed, where i=1, 2, …, n; j=1, 2, …, n; designating the cluster spacing in a clustering algorithm, namely designating the difference degree between the direct current groups as an empirical constant const, and obtaining a clustering and grouping result of a plurality of direct current lines; the specific method is that when the sum of interaction factors between two direct current lines is greater than or equal to an empirical constant const, the two direct current lines are considered to be clustered into the same group;
MSIF ij +MSIF ji ≥const (3)
wherein MSIF ji Representing the multi-output interaction factor of the direct current circuit j to the direct current circuit i; const is an empirical constant, 0.25 is taken;
step four: the utilization stepOn the basis of the multiple feasible power flow operation modes obtained in the first step, the electromechanical transient time domain simulation calculation of multiple direct current output capacity is carried out on the multiple feasible power flow operation modes of the regional power grid containing the multiple direct current lines, the influence of other direct current transmission power in the direct current group on the direct current coupling concerned is considered, the steady state transmission power of each direct current in the multiple operation modes is regulated, and the upper limit of the transmission limit of all n direct current lines in the direct current group without violating transient stability criteria is obtained
2. The method for calculating the multi-direct-current transmission limit based on direct-current interaction coupling clustering according to claim 1, wherein the multiple operation modes refer to tide operation modes of different generators, loads and direct-current transmission powers under different grid structures.
3. The multi-direct current delivery limit calculation method based on direct current interaction coupling clustering according to claim 1, wherein the machine learning method is a DBSCAN algorithm.
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